Positioning SAP Business Suite

Data Model

:Above the Data Products are generated artifacts that define the data model and offer opportunities for extension and authorization.

CRO

AI enabled personalization

Reliable (value of business AI)

AI grounded in customer's business data Part of SAP BTPM that combines generative AI technology with business data and context to infuse AI into our products

CHRO

AI infused workplace planning

Who is Grow with SAP for?

ALL customers - not just for midmarket solutions anymore.

AI Foundation:

The SAP Business Technology Platform provides tools and services for customers to create and extend AI solutions tailored to their specific needs.

Dashboards

The highest level of your Insight App is offering to the business user a range of features such as analytical dashboards, forecasting, AI-powered decision support, insight-to-action, or planning templates.

How is the insight app diagram?

Triangle Dashboard Data Models Data Prod Data Sources MPS---DASH TOP

What does Business Suite Offer

Unparalleled apps, unmatched data, unrivaled AI

Foundation Services

Where raw data business data is replicated Harmonized data product is located in a hyperscale environment based on SAP Hana Cloud, Data Lake files

How is SAP Business Suite Structured

Why, What, How

CHRO

Workforce planning identify gaps and enhance HR interactions

Dark Purple (diagram)

Joule

Dark Blue

BTP (Business Foundation), nucleus BDC (Business Data Cloud)

Key Benefits- Better

Better Outcomes: Just ask and get excellent content for job descriptions, coding assistance, and more...

Business Data Cloud Cockpit

Browse and find predefined insight APPs and Dataproducts Install Insight APPs Activate Data Products

Light purple (diagram)

Business Agents

AI Powered Financial forcasting

CFO

AI Powered Analytics

COO predict disruption in chain supply-real time

AI Driven Supplier Insights

CPO

Explaining Importance of Business AI refers to?

Chart that includes AI, ML, DL, Gen AI, -FM, LLM

Light Blue (diagram)

Cloud ERP and robust App

Unmatched Data

Contextualized, reliable and accessible

Insight Apps Automatically (4)

Create artifacts Data management steps Data provisioning from data source to dashboard Ready to consume business insights

Selling Proposition of SAP Business AI (image, 4 parts) (acron)

DDSF (dont do something fake) Direct Access Deep Business Process Knowledge Strong Parter Ecosy Focus on Apps rather than Tech

Databricks

Data Bricks is used when extending analytics with functions based on AI, ML, and precode engineering

Data Product

Data from source system is replicated in Foundation Services of SAP BDC. This data is then harmonized with other relevant business data from other applications to become a Data Product

Medium Blue (diagram)

Ecosystem Solutions

Selling Points of AI (EJAET) Eat Just A(l) of EVERY THING

Embedded AI Joule AI Foundation Ecosystem of Partners Trusted AI partners

Rise with SAP

Existing Customers

Key Benefits of SAP Business AI (4---acron---song)

FSB-F Faster Smarter Better---FULL

Key benefits-- Faster_____

Faster Work: Streamline tasks with an AI assistant that knows your unique role and acts as your work copilot across SAP applications.

Datasphere

Foundational structures that define data model, where you give roles and access

Key Benefits- Full

Full Control: Maintain full control over decision-making and your data privacy while accessing generative AI in a safe environment.

Components of Rise with SAP

Greenfield ERP Implementation: starting fresh on public cloud Multi-step transformation: public cloud ERP and leveraging RISE with SAP methodology to drive clean core principles Hybrid two-tier approach: moving to private cloud while other geographies expedite the first move journey to Public Cloud.

Responsible (value of business AI)

Human Agency and Oversight: Safeguarding human autonomy, particularly for automated decision-making. Address Bias and Discrimination Transparency and Explainability

CIO

IT Modernization

Insight APPs

Insight APPs include dashboards, templates, data access, data model, data artifacts in Datasphere, and an SAP Analytics Cloud Story

Key Components of BDC (4) IDDD (I, and Data-3)

Insight apps Data Products Datasphere Databricks

Relevant (value of business AI)

Interact with their critical business processes through Joule - SAP's cockpit available across SAP applications

LLM

Large language models (LLMs) are a subcategory of foundation models that are used for text and computer code.

CIO

Modernization, IT- SAP Business Suite

Grow with SAP

NET NEW Customers

BTP and applications are_____________

NOT SILOED

CFO

Planning and balance growth with profitability

Embedded AI

Pre-built AI functionalities are directly integrated into existing SAP business applications (ERP, HCM, Supply Chain, Spend Management, CX

COO

Predict and respond to supply chain disruptions

Selling SAP Business View from which perspective?

Persona View

CRO

Personalization for customer interactions and predict sales opps

Articulate the value of Business AI? (R)

Relevant, Reliable, Responsible

How do we showcase path for Customers to adopts SAP Business Suite

Rise and Grow with SAP

SAP Analytics Cloud

SAP Analytics Cloud stories provide the required dashboards in out-of-the-box reporting scenarios with Insight APPs.

Data Source

SAP and NonSAP Source Raw business data from source systems

Key Benefits--Smarter

Smarter Insights: Get quick answers and smart insights on-demand, facilitating faster decision-making without bottlenecks.

CPO

Supplier selection & manage procurement risks

What does SAP business AI mean? (3 acronym)

TEP: Technology it is based on Enterprise data it is trained on Processes it runs through

FM (Foundation Models)

are AI systems that use self-supervised learning on vast data to perform a variety of tasks, such as writing documents or creating images. Their versatility and adaptability make them a significant advancement in AI, lowering the barriers to adoption.

Unparalleled Apps

comprehensive, extensible and integrated, industry-specific

Components of Grow with SAP

public cloud as the end destination. GROW with SAP has shifted from a mid-market solution to a path to SAP Business Suite for all new customers. GROW with SAP is for ALL customers - not just for midmarket solutions anymore.

Data Packages

data products grouped together

Unrivaled AI

enhances operations, drives real-time insight and optimizes decisions at scale

Grow with SAP

for Net New customers

Gen AI

form of deep learning which utilizes foundation models, like large language models, to create new content, including text, images, sound, and videos, based on the data they were trained on.

Deep Learning

is a branch of Machine Learning that uses multi-layered neural networks to analyze complex data patterns, and it may employ different learning methods like supervised, unsupervised, and reinforcement learning depending upon the task and available data.

Machine Learning (ML)

is a subset of AI that focuses on enabling computer systems to learn and improve from experience or data, incorporating elements from fields like computer science, statistics, and psychology.

Artificial Intelligence (AI)

is a technology that equips machines with human-like capabilities such as problem-solving, visual perception, speech recognition, decision-making, and language translation, seen in everyday applications like AI assistants and facial recognition software.

SAP Business Technology Platform (BTP)

is the foundation powering our SAP Business AI. It is the go-to platform to build business applications, not only for SAP, but for customers and partners